Idioms as multi-word expressions in Turkish

Date

2020-10

Author

Güven, Arzu Burcu

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Idioms constitute several challenges for both Natural Language Processing (NLP) and linguistic analysis. A better understanding of idioms will yield valuable insights about natural language as well as the way it is processed. The relevance of idioms, along with the fact that Turkish is a rather unexplored language from this perspective, motivates us to work on Turkish idioms. Here, we aim to demonstrate a grammatical study on Turkish idioms that were selected in accordance with distributional models.

Subject Keywords

MWE, Idiom, CCG, Distributional Semantics, Word Embedding

URI

https://hdl.handle.net/11511/69061

Collections

Graduate School of Informatics, Thesis